DocumentCode :
1634859
Title :
A hybrid approach to learn Bayesian networks using evolutionary programming
Author :
Wong, Man Leung ; Lee, Shing Yan ; Leung, Kwong Sak
Author_Institution :
Dept. of Inf. Syst., Lingnan Univ., Tuen Mun, China
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1314
Lastpage :
1319
Abstract :
A novel hybrid framework is reported that improves upon our previous work, MDLEP, which uses evolutionary programming to solve the difficult Bayesian network learning problem. A new merge operator is also introduced that further enhances the efficiency. As experimental results suggest, our hybrid approach performs significantly better than MDLEP
Keywords :
belief networks; evolutionary computation; learning (artificial intelligence); merging; uncertainty handling; Bayesian networks; MDLEP; evolutionary programming; experimental results; hybrid framework; learning; merge operator; uncertainty; Artificial intelligence; Bayesian methods; Computer science; Genetic programming; Information systems; Learning; Random variables; Search problems; Testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
Type :
conf
DOI :
10.1109/CEC.2002.1004433
Filename :
1004433
Link To Document :
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